Senior Research Engineer - Autonomous Vehicles

What you'll do

• Build and optimize large-scale training frameworks, data pipelines, GPU clusters, and simulation infrastructure for multimodal AV models.
• Develop sim-to-real transfer pipelines, collaborate with researchers and product teams, and support deployment to real-world cars.
• Apply reinforcement learning to fine-tune multimodal LLMs and propose scalable approaches combining LLMs with policy learning.

What they ask for

• Bachelor's degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience.
• 10+ years of full-time industry experience in large-scale MLOps and AI infrastructure.
• Experience designing and optimizing distributed training systems using PyTorch, JAX, or TensorFlow; familiarity with reinforcement learning algorithms and policy-learning techniques.
• Strong programming skills in Python and C++; understanding of GPU acceleration, CUDA, cluster management, and large-scale GPU/HPC environments.

Pay

184,000 USD - 287,500 USD (base salary); 224,000 USD - 356,500 USD (base salary)

Tools

PyTorch, JAX, TensorFlow, PPO, SAC, Q-learning, CUDA, Kubernetes

AI focus

Research and build autonomous-driving AI, including multimodal foundation models, reinforcement learning, LLMs, policy learning, and sim-to-real transfer.